Self-tuning control of fast time-varying systems applied to a turbo-generator set

A new self-tuning controller for systems with fast time-varying parameters is applied to a turbo-generator set. The controller is a combination of a d+1-step-ahead regulator and a least-squares estimation algorithm. The utilized identification method approximates the time-varying parameters of a discrete linear model by their Taylor polynomials with respect to an auxiliary variable, which is correlated with the parameter changes. The approximation scheme is applied in such way that the parameter identification problem is turned to a problem of observing the states of a known state space model. The results of the application of the new controller to a turbo-generator set are given